Job Title: Senior Python/ML Developer

Education Level : Bachelor's Degree

Experience Level : Level 4





Company Profile

At Morgan Stanley, we advise, originate trade, manage and distribute capital for governments, institutions and individuals, and always do so with a standard of excellence. We are a leading global financial services firm that conducts its business through three principal business segments. Institutional Securities, Wealth Management (WM), and Investment Management. The Firm's employees serve clients worldwide from more than 1,200 offices in 43 countries.Our WM business is one of the largest in the world with more than $2 trillion in client assets, $73 billion in lending balances, and nearly 16,000 Financial Advisors in 600+ offices across the U.S. Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals. Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services.As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Department ProfileGlobal Banking Technology (GBT) is a dynamic and fast-paced area within the Firm?s WM Technology Division. We are responsible for creating innovative technology solutions for the Private Banking Group (PBG), one of the strategic growth areas of the Firm, providing cash management and lending products and services to our WM clients. This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans and tailored lending. If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, GBT is the place for you.Position DescriptionThis is a Senior Data Scientist / Python developer position who will be supporting various Data Driven Initiative programs. In this capacity the developer will be working with different business groups to define models to identify different customer base, revenue opportunities across the banking products and then building Company ProfileAt Morgan Stanley, we advise, originate trade, manage and distribute capital for governments, institutions and individuals, and always do so with a standard of excellence. We are a leading global financial services firm that conducts its business through three principal business segments?Institutional Securities, Wealth Management (WM), and Investment Management. The Firm's employees serve clients worldwide from more than 1,200 offices in 43 countries.Our WM business is one of the largest in the world with more than $2 trillion in client assets, $73 billion in lending balances, and nearly 16,000 Financial Advisors in 600+ offices across the U.S. Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals. Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.Department ProfileGlobal Banking Technology (GBT) is a dynamic and fast-paced area within the Firm?s WM Technology Division. We are responsible for creating innovative technology solutions for the Private Banking Group (PBG), one of the strategic growth areas of the Firm, providing cash management and lending products and services to our WM clients. This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans and tailored lending. If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, GBT is the place for you.

Position Description

This is a Senior Data Scientist / Python developer position who will be supporting various Data Driven Initiative programs. In this capacity the developer will be working with different business groups to define models to identify different customer base, revenue opportunities across the banking products and then building the model and necessary technical infrastructure to automate execution of these models.



Job Functions/Duties and Responsibilities

• Take ownership of projects and execute with minimal guidance.

• Study and transform data science prototypes

• Research and implement appropriate ML algorithms and tools

• Design & Develop machine learning systems according to requirements

• Perform statistical analysis and fine-tuning using test results

• Train and retrain systems when necessary

• Extend existing ML libraries and frameworks

• Keep abreast of developments in the field

• Assign tasks to junior developer(s) and provide them technical oversight.

• Interact with business stakeholders on a regular basis.



Skills Required

• 10-12 years of technology experience

• Solid working experience in Python

• Proven experience as a Machine Learning Engineer or similar role

• Good knowledge of Data Lake, Hadoop, Dataiku, Scala and Apache Spark

• Working knowledge of SQL and No SQL DBs

• Deep knowledge of math, probability, statistics and algorithms

• Working knowledge of machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

• Superior analytical and problem-solving skills

• Good communication skills

• Ability to work in a team